Job Title: Bioinformatics Analyst

Location: TELECOMMUTE, IL

Duration: 6+ Months

Job Type: Contract

Job Description:

100% TELECOMMUTE

Hours:

Typically, between 9AM-5PM Central Time.

Description:

We have an exciting contract opportunity for a Bioinformatics analyst within the Genomics Research Center to support our internal research team.

The successful candidate will be part of the Emerging Technology Team and will be responsible for all aspects of bioinformatics analysis for a variety of novel and standard NGS experiments including quality control, platform validation, differential gene/protein expression, whole genome mapping and variant calling.

The successful candidate will work closely with multiple senior computational biologists to support data processing and analysis.

Careful attention to details, timely delivery of results, and ability to handle multiple projects are essential part of the ideal candidate.

This candidate should also have demonstrated previous experience analyzing variety of different Omic data, especially Whole Genome Sequencing (WGS), be comfortable using R/Python for data wrangling, and possess excellent communication skills.

TOP 5 SKILLS:

Proficient in using R to do basic data analysis (processing, plotting )

Comfortable working with NGS data using open-source tools

Ability to communicate results to scientists with broad range of expertise

Familiarity with basics of statistical modeling

proficient working in UNIX environment, comfortable with unix scripting language (Bash, Perl, Python), experienced working with job scheduler like SLURM

Education/Experience:

B.S. in Bioinformatics/Biostatistics/CS with 6+ years of experience

M.S. in Bioinformatics/Biostatistics/CS with 4+ years of experience.

Ph.D. in Bioinformatics/Biostaistics/CS with 1+ years of experience

Preferred:

Prior experience in CAP or CLIA Lab (comfortable running standardized pipelines, analysis and generate reports according to well defined guidelines)

Experience analyzing 'omic data sets (e.g., WGS, RNAseq, proteomics).

Experience with gene ontology and pathway enrichment analysis.

Proficient in literature search to identify relevant public data sets to support and interpret internally generated results.

Experience with Limma and/or Dream for differential gene expression analysis with linear mixed models.

Experience working with NGS data from non-human animals.

Experience managing project(s) involving multiple stakeholders and facilitating information exchange